Skip to content
Davis Bryson

#9Davis Bryson

Davis Bryson is a Versatile WR for Kennesaw State.

What projects, and what doesn't · WRs · held out 2019-2025

How well one season predicts the next, measured on seasons the model never trained on. 1.00 would be perfectly predictable; 0.00 means last year told us nothing.

  • Usage share (volume)0.47
    Beats guessing the WR average by 16%. n=6,302 WR seasons
  • EPA per play (efficiency)0.09
    Not projectable — we do not forecast this. n=5,767 WR seasons
  • Total EPA (value)0.45
    Beats guessing the WR average by 12%. n=5,767 WR seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So Davis Bryson's projection is a projection of opportunity — how much of the offense he runs through. How well he converts it is something this model does not claim to know a year in advance, and the number above is why.

2025 Production

Receiving
9 Receptions106 Rec yards0 Rec TD11.8 Yards/rec
Returns
13 Kick returns279 KR yards0 KR TD

Performance Analysis · 2025 · vs WR peers

  • Efficiency0
  • Volume10
  • Explosiveness32
  • Consistency13
  • Pass-Down100
Player type
Versatile WR

Balanced profile without a single dominant trait — contributes across multiple dimensions.

Balanced usageMulti-role
Peer percentiles
Opponent-adjusted EPA (WEPA/play)0th %ile · below avg
Game-to-game consistency13th %ile · below avg
Key findings
  • Below-average efficiency vs WR peers — value comes through volume, not per-play impact.
  • Limited usage share suggests a rotational or specialist role.
  • High game-to-game variance — boom-or-bust profile.
  • Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
  • Strong second-half surge — EPA/play improved 0.52 from the first to second half of the season.
  • Peak game: 0.41 EPA/play in Wk 12 vs Jacksonville State (SP+ -7).

NIL Market Tier· 2025

On3 valuation ↗
Contributor

Rotational contributor. Smaller collective or local deals.

Tier is a model estimate based on position, school brand, performance rank, and usage — not a reported deal. NIL deals are private. For a real market valuation, see On3's NIL profile, which factors in social following and actual deal tracking.

Historical Comparables · WR · efficiency + volume + value

Players from 2013–2025 matched on EPA efficiency, play volume, and adjusted value tier — not just one metric.

PlayerTeamWEPA/playLine valTotal EPA
De'Michael HarrisSouthern Miss0.1300.715.2
Hyleck FosterMarshall0.1800.518.2
Amare JonesTulane0.1800.012.8
Shai WertsGeorgia Southern0.1500.024.2
Eli HeidenreichNavy0.2200.815.4

Comps are statistical — efficiency, volume, and value tier all factor in. Style and conference context differ.

Game Log · box score + EPA, week by week

+1.0101.01Wk 2 vs Indiana: -1.01 EPA/play2Wk 9 vs Florida International: -0.17 EPA/play9Wk 10 vs UTEP: -0.63 EPA/play10Wk 11 vs New Mexico State: +0.10 EPA/play11Wk 12 vs Jacksonville State: +0.41 EPA/play12Wk 14 vs Liberty: +0.00 EPA/play14Wk 15 vs Jacksonville State: +0.18 EPA/play15
EPA per play · x-axis: weekabove 0 = added points · below = lost
WkOpponentResultOpp SP+RecRec YdsAvgRec TDLongEPA/play
2@IndianaL9-5632.4-1.01
9@Florida InternationalW45-26-10.5177.007-0.17
10vsUTEPW33-20-17.51-2-2.00-2-0.63
11@New Mexico StateW24-21-15.5155.0050.10
12@Jacksonville StateL26-35-6.711414.00140.41
13vsMissouri StateW41-34-10.7
14@LibertyW48-42-9.014040.00400.00
15@Jacksonville StateW19-15-6.744210.50180.18
20vsWestern MichiganL6-41-1.4

Usage & Situational · Pro

Snap-share proxy
Overall
3.5%
Passing plays
7.0%
Rushing plays
1.0%
Standard downs
3.2%
Passing downs
4.3%
EPA by down type
Standard downs
-0.46
Passing downs
0.64
Pass / Rush EPA
0.18 / -0.96

Usage = share of team plays (CFBD has no true snap counts).

Career · rolling EPA, game by game

Per-game EPA5-game avg
+0.350−0.31
EPA per play · 2024 · 11 games

Chart shows per-game EPA (bars) and rolling 5-game average (line). Season breaks marked with dashed lines. Line value = est. points over replacement per game.

EPA = expected points added (opponent-adjusted). NIL estimates are model-based ranges, not reported deals. Data: CollegeFootballData. Not betting advice.